Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/7280
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dc.contributor.authorMohd Saifizi, Saidon-
dc.contributor.authorHazry, Desa-
dc.contributor.authorPaulraj, Murugesa-
dc.contributor.authorMohd Sofian, M. Rosbi-
dc.date.accessioned2009-11-13T02:08:56Z-
dc.date.available2009-11-13T02:08:56Z-
dc.date.issued2009-10-11-
dc.identifier.citationp.3B8 1 - 3B8 5en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/7280-
dc.descriptionOrganized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.en_US
dc.description.abstractMachine vision can be described as a useful robotic sensor since it mimics the human sense of vision and allows for non-contact measurement of the environment. The infinite number of possible poses relative to the viewer will cause the3-D object gives rise to an infinite variety of 2D images or views. Two things must be known—“what” the object is and “where” it is located i.e. the object has to be recognized and its coordinates must be known, In order for a vision system to be effective in assisting a robot to approach an object autonomously. This research presents a type of stable target acquisition system for mobile robot. A combination of vision sensors and mobile robot will be use in order to measure accurately the location of a target in real world coordinates. Then, a robust target extraction algorithm that able to pick out a target in an image will develop. After this is done we will develop a stereo vision algorithm to find the distance from the robot to the target. Finally we will integrate all of these algorithms together. This is important in order to develop a target extraction technique that will be able to find the distance accurately to the target. With the distance we can then locate the real world position of the target.en_US
dc.description.sponsorshipTechnical sponsored by IEEE Malaysia Sectionen_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlisen_US
dc.relation.ispartofseriesProceedings of the International Conference on Man-Machine Systems (ICoMMS 2009)en_US
dc.subjectRoboticsen_US
dc.subjectMobile robotsen_US
dc.subjectRobots -- Design and constructionen_US
dc.subjectImage processingen_US
dc.subjectRobot visionen_US
dc.titleDeveloping stereo vision system for object recognition and positioning of AMAD-R mobile roboten_US
dc.typeWorking Paperen_US
Appears in Collections:Conference Papers
Paulraj Murugesa Pandiyan, Assoc. Prof. Dr.
Hazry Desa, Associate Prof.Dr.

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